5 resultados para Other Computer Sciences
em Digital Commons - Montana Tech
Resumo:
The first part of the lecture details a study of how receding glaciers and snowfields in Montana, New Zealand and Scotland affect the alpine plants that grow along and near their edges. Measuring and monitoring techniques are included. The second part describes the Global Observation Research Initiative in Alpine Environments (GLOBAL) whose purpose is "to establish and maintain a world-wide long-term observation network in alpine environments. Vegetation and temperature data collected at the GLORIA sites will be used for discerning trends in species diversity and temperature."
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Dr. Charles Peterson, Herpetologist and Professor of Biological Sciences at Idaho State University. Curator of Ichthyology and Herpetology at the Idaho Museum of Natural History.
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Presentation by Dr. Frank Ackerman. Additional information can be found on Montana Tech's Department of Computer Sciences website.
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Silver Bow Creek (SBC) flows into the Warm Springs Ponds Operable Unit (WSPOU), where various containment cells are used to precipitate copper and other metals (e.g., Cd, Cu, Mn, Pb, Zn). Lime is added seasonally to increase the pH and assist in removal of metals from the water column. Although the WSPOU is effective at removing copper and other cationic trace metals, concentrations of dissolved arsenic exiting the facility are often above the site specific standard, 20 20 ug/L, during low-flow periods each summer and fall. This thesis is a continuation of arsenic geochemistry studies by Montana Tech in the WSPOU. Field work focused on Pond 3, the largest and first in the series of treatment ponds. Shallow groundwater was sampled from 8 PVC piezometers located near the south end of Pond 3. Three sediment pore-water diffusion samplers (“peepers”) were also deployed at the south end of Pond 3 to examine vertical gradients in chemistry in the top 25 cm of the pond sediment. In general, the pH and Eh values of the shallow groundwater and sediment pore-water were less than in the pond water. Concentrations of arsenic were generally higher in subsurface water, and tended to pass through a maximum (up to 530 g/L) about 10 cm below the sediment-water interface. In the peeper cells, there was a strong positive correlation between dissolved As and dissolved Fe, and an inverse correlation with sulfate. Therefore, the zone of arsenic release corresponds to a zone of bacterial Fe and sulfate reduction in the shallow, organic-rich sediment. Redox speciation of arsenic shows that arsenate (As(V)) is dominant in the pond, and arsenite (As(III)) is dominant in the subsurface water. A series of laboratory experiments with pH adjustment were completed using SBC water collected near the inlet to the WSPOU as well as water and shallow sediment collected from Pond 3. Water ± sediment mesocosms were set up in 1-L Nalgene bottles (closed system) or a 20-L aquarium (open system), both with continuous stirring. The pH of the mesocosm was adjusted by addition of NaOH or HNO3 acid. The closed system provided better pH control since the water was not in contact with the atmosphere, which prevented exchange of carbon dioxide. In both the closed and open systems, dissolved arsenic concentrations either decreased or stayed roughly the same with increase in pH to values > 11. Therefore, the release of dissolved As into the treatment ponds in low-flow periods is not due to changes in pH alone. All of these results support the hypothesis that the arsenic release in WSPOU is linked to microbial reduction of ferric oxide minerals in the organic-rich sediment. Upwards diffusion of dissolved As from the sediment pore-water into the pond water is the most likely explanation for the increase in As concentration of the WSPOU in low-flow periods.
Resumo:
A model was developed to assess the potential change in PM2.5 concentrations in Butte, Montana over the course of the 21st century as the result of climate change and changes in emissions. The EPA AERMOD regulatory model was run using NARCCAP climate data for the years of 2040, 2050, 2060 and 2070, and the results were compared to the NAAQS to determine if there is the potential for future impacts to human health. This model predicted an average annual concentration of 15.84 µg/m3 in the year 2050, which would exceed the primary NAAQS of 12 µg/m3 and is a large increase over the average concentration from 2010 – 2012 of 10.52 µg/m3. The effectiveness of a wood stove change out program was also evaluated to determine its efficacy, and modeled results predicted that by changing out 100% of inefficient stoves with an EPA approved model, concentrations could be reduced below the NAAQS.